In [18]:
Out[18]:
Confirmed
Country_Region
US 1699176
Brazil 411821
Russia 370680
United Kingdom 268619
Spain 236259
Italy 231139
France 183038
Germany 181524
Turkey 159797
India 158086
Iran 141591
Peru 135905
Canada 88989
China 84106
Chile 82289
In [21]:
Out[21]:
Confirmed
Country_Region
US 1699176
Brazil 411821
Russia 370680
United Kingdom 268619
Spain 236259
Italy 231139
France 183038
Germany 181524
Turkey 159797
India 158086
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In [3]:
Out[3]:
FIPS Admin2 Province_State Country_Region Last_Update Lat Long_ Confirmed Deaths Recovered Active Combined_Key
0 45001.0 Abbeville South Carolina US 2020-05-28 02:32:31 34.223334 -82.461707 35 0 0 35 Abbeville, South Carolina, US
1 22001.0 Acadia Louisiana US 2020-05-28 02:32:31 30.295065 -92.414197 397 22 0 375 Acadia, Louisiana, US
In [6]:
Out[6]:
FIPS Admin2 Province_State Country_Region Last_Update Lat Long_ Confirmed Deaths Recovered Active Combined_Key
3368 NaN NaN NaN Russia 2020-05-28 02:32:31 61.524010 105.318756 370680 3968 142208 224504 Russia
3404 NaN NaN NaN United Kingdom 2020-05-28 02:32:31 55.378100 -3.436000 267240 37460 0 229780 United Kingdom
1942 36061.0 New York City New York US 2020-05-28 02:32:31 40.767273 -73.971526 199968 21362 0 178606 New York City, New York, US
3293 NaN NaN NaN France 2020-05-28 02:32:31 46.227600 2.213700 180044 28546 64503 86995 France
3400 NaN NaN NaN Turkey 2020-05-28 02:32:31 38.963700 35.243300 159797 4431 122793 32573 Turkey
3309 NaN NaN NaN India 2020-05-28 02:32:31 20.593684 78.962880 158086 4534 67749 85803 India
3311 NaN NaN NaN Iran 2020-05-28 02:32:31 32.427908 53.688046 141591 7564 111176 22851 Iran
3362 NaN NaN NaN Peru 2020-05-28 02:32:31 -9.190000 -75.015200 135905 3983 56169 75753 Peru
3191 NaN NaN Sao Paulo Brazil 2020-05-28 02:32:31 -23.550500 -46.633300 89483 6712 0 82771 Sao Paulo, Brazil
3116 NaN NaN Lombardia Italy 2020-05-28 02:32:31 45.466794 9.190347 87801 15954 47810 24037 Lombardia, Italy
3375 NaN NaN NaN Saudi Arabia 2020-05-28 02:32:31 23.885942 45.079162 78541 425 51022 27094 Saudi Arabia
600 17031.0 Cook Illinois US 2020-05-28 02:32:31 41.841448 -87.816588 74521 3455 0 71066 Cook, Illinois, US
3104 NaN NaN Hubei China 2020-05-28 02:32:31 30.975600 112.270700 68135 4512 63618 5 Hubei, China
3120 NaN NaN Madrid Spain 2020-05-28 02:32:31 40.416800 -3.703800 68066 8691 40736 18639 Madrid, Spain
3132 NaN NaN Metropolitana Chile 2020-05-28 02:32:31 -33.437600 -70.650500 66011 595 0 65416 Metropolitana, Chile
In [17]:
In [16]:
Out[16]:
Confirmed
Country_Region
US 1699176
Brazil 411821
Russia 370680
United Kingdom 268619
Spain 236259
Italy 231139
France 183038
Germany 181524
Turkey 159797
India 158086
Iran 141591
Peru 135905
Canada 88989
China 84106
Chile 82289
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Out[60]:
<folium.vector_layers.Circle at 0x245f6361128>
In [61]:
In [62]:
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-62-680dc6aac850> in <module>()
----> 1 corona_df[['Lat', 'Long_', 'Confirmed', 'Combined_Key']].apply(lambda x: circle_maker(x), axis = 1)

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in apply(self, func, axis, broadcast, raw, reduce, result_type, args, **kwds)
   6002                          args=args,
   6003                          kwds=kwds)
-> 6004         return op.get_result()
   6005 
   6006     def applymap(self, func):

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\apply.py in get_result(self)
    140             return self.apply_raw()
    141 
--> 142         return self.apply_standard()
    143 
    144     def apply_empty_result(self):

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\apply.py in apply_standard(self)
    246 
    247         # compute the result using the series generator
--> 248         self.apply_series_generator()
    249 
    250         # wrap results

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\apply.py in apply_series_generator(self)
    275             try:
    276                 for i, v in enumerate(series_gen):
--> 277                     results[i] = self.f(v)
    278                     keys.append(v.name)
    279             except Exception as e:

<ipython-input-62-680dc6aac850> in <lambda>(x)
----> 1 corona_df[['Lat', 'Long_', 'Confirmed', 'Combined_Key']].apply(lambda x: circle_maker(x), axis = 1)

<ipython-input-61-47134ed06616> in circle_maker(x)
      2     folium.Circle(location = [x[0], x[1]],
      3                  radius = float(x[2])*10,
----> 4                  popup = '{}\nConfirmed Cases: {}'.format(x[3], x[2])).add_to(m)

C:\ProgramData\Anaconda3\lib\site-packages\folium\vector_layers.py in __init__(self, location, radius, popup, tooltip, **kwargs)
    265 
    266     def __init__(self, location, radius, popup=None, tooltip=None, **kwargs):
--> 267         super(Circle, self).__init__(location, popup=popup, tooltip=tooltip)
    268         self._name = 'circle'
    269         self.options = path_options(line=False, radius=radius, **kwargs)

C:\ProgramData\Anaconda3\lib\site-packages\folium\map.py in __init__(self, location, popup, tooltip, icon, draggable, **kwargs)
    275         super(Marker, self).__init__()
    276         self._name = 'Marker'
--> 277         self.location = validate_location(location)
    278         self.options = parse_options(
    279             draggable=draggable or None,

C:\ProgramData\Anaconda3\lib\site-packages\folium\utilities.py in validate_location(location)
     63                              .format(coord, type(coord)))
     64         if math.isnan(float(coord)):
---> 65             raise ValueError('Location values cannot contain NaNs.')
     66     return [float(x) for x in coords]
     67 

ValueError: ('Location values cannot contain NaNs.', 'occurred at index 867')

In [63]:
Out[63]:
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